{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import os\n",
    "from dotenv import load_dotenv\n",
    "# Load environment variables from openai.env file\n",
    "load_dotenv(\"openai.env\")\n",
    "\n",
    "# Read the OPENAI_API_KEY from the environment\n",
    "api_key = os.getenv(\"OPENAI_API_KEY\")\n",
    "api_base = os.getenv(\"OPENAI_API_BASE\")\n",
    "os.environ[\"OPENAI_API_KEY\"] = api_key\n",
    "os.environ[\"OPENAI_API_BASE\"] = api_base"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.0\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
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      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.0\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: langchain-openai in /Users/tomiezhang/.pyenv/versions/3.10.12/envs/langchains/lib/python3.11/site-packages (0.0.5)\n",
      "Collecting langchain-openai\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/81/63/012be16114559243aabcc9ec570366df84591dc9f8f3c2349a398e9b3626/langchain_openai-0.0.8-py3-none-any.whl (32 kB)\n",
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      "Collecting openai<2.0.0,>=1.10.0 (from langchain-openai)\n",
      "  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/75/d1/06a969e3b15429873d52cb2ca8ad9b2c3b28bcf977ba6796dbaef13f5b95/openai-1.14.0-py3-none-any.whl (257 kB)\n",
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      "Requirement already satisfied: orjson<4.0.0,>=3.9.14 in /Users/tomiezhang/.pyenv/versions/3.10.12/envs/langchains/lib/python3.11/site-packages (from langsmith<0.2.0,>=0.1.0->langchain-core<0.2.0,>=0.1.27->langchain-openai) (3.9.15)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/tomiezhang/.pyenv/versions/3.10.12/envs/langchains/lib/python3.11/site-packages (from requests<3,>=2->langchain-core<0.2.0,>=0.1.27->langchain-openai) (3.3.2)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/tomiezhang/.pyenv/versions/3.10.12/envs/langchains/lib/python3.11/site-packages (from requests<3,>=2->langchain-core<0.2.0,>=0.1.27->langchain-openai) (2.1.0)\n",
      "Requirement already satisfied: h11<0.15,>=0.13 in /Users/tomiezhang/.pyenv/versions/3.10.12/envs/langchains/lib/python3.11/site-packages (from httpcore->httpx<1,>=0.23.0->openai<2.0.0,>=1.10.0->langchain-openai) (0.14.0)\n",
      "Installing collected packages: openai, langchain-openai\n",
      "  Attempting uninstall: openai\n",
      "    Found existing installation: openai 0.27.8\n",
      "    Uninstalling openai-0.27.8:\n",
      "      Successfully uninstalled openai-0.27.8\n",
      "  Attempting uninstall: langchain-openai\n",
      "    Found existing installation: langchain-openai 0.0.5\n",
      "    Uninstalling langchain-openai-0.0.5:\n",
      "      Successfully uninstalled langchain-openai-0.0.5\n",
      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
      "doctran 0.0.14 requires openai<0.28.0,>=0.27.8, but you have openai 1.14.0 which is incompatible.\u001b[0m\u001b[31m\n",
      "\u001b[0mSuccessfully installed langchain-openai-0.0.8 openai-1.14.0\n",
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.0\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "! pip install --upgrade langchain\n",
    "! pip install --upgrade openai==0.27.8\n",
    "! pip install -U langchain-openai"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: openai\n",
      "Version: 1.14.0\n",
      "Summary: The official Python library for the openai API\n",
      "Home-page: \n",
      "Author: \n",
      "Author-email: OpenAI <support@openai.com>\n",
      "License: \n",
      "Location: /Users/tomiezhang/.pyenv/versions/3.10.12/envs/langchains/lib/python3.11/site-packages\n",
      "Requires: anyio, distro, httpx, pydantic, sniffio, tqdm, typing-extensions\n",
      "Required-by: doctran, langchain-openai\n",
      "Name: langchain\n",
      "Version: 0.1.12\n",
      "Summary: Building applications with LLMs through composability\n",
      "Home-page: https://github.com/langchain-ai/langchain\n",
      "Author: \n",
      "Author-email: \n",
      "License: MIT\n",
      "Location: /Users/tomiezhang/.pyenv/versions/3.10.12/envs/langchains/lib/python3.11/site-packages\n",
      "Requires: aiohttp, dataclasses-json, jsonpatch, langchain-community, langchain-core, langchain-text-splitters, langsmith, numpy, pydantic, PyYAML, requests, SQLAlchemy, tenacity\n",
      "Required-by: langchain-experimental\n",
      "Name: langchain-openai\n",
      "Version: 0.0.8\n",
      "Summary: An integration package connecting OpenAI and LangChain\n",
      "Home-page: https://github.com/langchain-ai/langchain\n",
      "Author: \n",
      "Author-email: \n",
      "License: MIT\n",
      "Location: /Users/tomiezhang/.pyenv/versions/3.10.12/envs/langchains/lib/python3.11/site-packages\n",
      "Requires: langchain-core, openai, tiktoken\n",
      "Required-by: \n"
     ]
    }
   ],
   "source": [
    "! pip show openai\n",
    "! pip show langchain\n",
    "! pip show langchain-openai"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Embed_documents\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  0.004844134774300858,\n",
       "  -0.0022711218807440203,\n",
       "  0.010201831560578807,\n",
       "  -0.00861256680682191,\n",
       "  -0.025567038516874915,\n",
       "  -0.0025279026539019177,\n",
       "  -0.008480705497350447,\n",
       "  -0.008425185632231744,\n",
       "  -0.0259140400021733,\n",
       "  0.00025070825880670793,\n",
       "  0.012651658880288588,\n",
       "  -0.034394745499523746,\n",
       "  0.022749389063955287,\n",
       "  0.003017174142812955,\n",
       "  0.004511013720943446,\n",
       "  -0.0005703829929672755,\n",
       "  0.017030811291760574,\n",
       "  0.004788614443520857,\n",
       "  0.005215426084173352,\n",
       "  -0.017488854369941555,\n",
       "  0.014143763404426458,\n",
       "  -0.005604067002649469,\n",
       "  -0.006246019284790185,\n",
       "  0.027066082325660674,\n",
       "  -0.0024932027382027276,\n",
       "  0.013664901540979204,\n",
       "  0.0019015658576947965,\n",
       "  -0.0015693123313336949,\n",
       "  0.014407484160724193,\n",
       "  -0.009514768805952523,\n",
       "  0.026788481137421966,\n",
       "  0.012825159622937782,\n",
       "  0.009917290156369612,\n",
       "  -0.009001207725298025,\n",
       "  -0.002701403163720462,\n",
       "  -0.03811459695157399,\n",
       "  0.019071178907727967,\n",
       "  -0.011228954653210397,\n",
       "  ...]]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from langchain_openai import OpenAIEmbeddings\n",
    "\n",
    "e_model = OpenAIEmbeddings()\n",
    "ebeddings = e_model.embed_documents(\n",
    "     [\n",
    "        \"你好\",\n",
    "        \"你好啊\",\n",
    "        \"你叫什么名字?\",\n",
    "        \"我叫王大锤\",\n",
    "        \"很高兴认识你大锤\",\n",
    "    ]\n",
    ")\n",
    "ebeddings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## embed_query\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.004047733608954853,\n",
       " 0.0009470974041103827,\n",
       " 0.029676812733286713,\n",
       " -0.00633586830824844,\n",
       " -0.02480508870743322]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "embedded_query = e_model.embed_query(\"这段对话中提到了什么名字?\")\n",
    "embedded_query[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 嵌入向量缓存\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['text-embedding-ada-002c63ea318-3b5d-533b-960b-46434f8b3c22',\n",
       " 'text-embedding-ada-002f05b40fb-a095-546e-9c5d-49e069720828',\n",
       " 'text-embedding-ada-0024250f053-4b1e-5c34-927d-a7857749217f',\n",
       " 'text-embedding-ada-002b0c54c27-a009-50b4-9ccc-661d5478b195',\n",
       " 'text-embedding-ada-002e94acbbe-7d17-5331-8310-4e37bdc56d31',\n",
       " 'text-embedding-ada-0029286d74c-b3fc-56ff-8b08-9071a193f724']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from langchain.embeddings import CacheBackedEmbeddings\n",
    "from langchain.storage import  LocalFileStore\n",
    "from langchain.document_loaders import TextLoader\n",
    "from langchain.text_splitter import CharacterTextSplitter\n",
    "from langchain_openai import OpenAIEmbeddings\n",
    "u_embeddings = OpenAIEmbeddings()\n",
    "fs = LocalFileStore(\"./cache/\")\n",
    "cached_embeddings = CacheBackedEmbeddings.from_bytes_store(\n",
    "    u_embeddings,\n",
    "    fs,\n",
    "    namespace=u_embeddings.model,\n",
    ")\n",
    "list(fs.yield_keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Created a chunk of size 610, which is longer than the specified 600\n"
     ]
    }
   ],
   "source": [
    "#加载文档，切分文档，将切分文档向量化病存储在缓存中\n",
    "\n",
    "raw_documents = TextLoader(\"letter.txt\").load()\n",
    "text_splitter = CharacterTextSplitter(chunk_size=600,chunk_overlap=0)\n",
    "documents = text_splitter.split_documents(raw_documents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "! pip install faiss-cup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "74.5 ms ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)\n"
     ]
    }
   ],
   "source": [
    "from langchain.vectorstores import  FAISS\n",
    "%timeit -r  1 -n 1 db= FAISS.from_documents(documents,cached_embeddings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['text-embedding-ada-002c63ea318-3b5d-533b-960b-46434f8b3c22',\n",
       " 'text-embedding-ada-002f05b40fb-a095-546e-9c5d-49e069720828',\n",
       " 'text-embedding-ada-0024250f053-4b1e-5c34-927d-a7857749217f',\n",
       " 'text-embedding-ada-002b0c54c27-a009-50b4-9ccc-661d5478b195',\n",
       " 'text-embedding-ada-002e94acbbe-7d17-5331-8310-4e37bdc56d31',\n",
       " 'text-embedding-ada-0029286d74c-b3fc-56ff-8b08-9071a193f724']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看缓存中的键\n",
    "list(fs.yield_keys())"
   ]
  }
 ],
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